Description
TL;DR: A consensus study preventing agents from adopting meaningless blended states when messages arrive before earlier work has completed.
About This Document
Christopher D. Hollander and Annie S. Wu examine asynchronous gossip settings where ordinary linear combinations can violate the problem domain. They define conflict-resolution rules, prove valid consensus under stated network properties, and use absorbing Markov chains to analyze expected convergence behavior.
Why Bitcoin People May Care
This is not Bitcoin consensus. Gossip is also used to relay information in cryptocurrency networks, but these agents resolve abstract state conflicts rather than validate adversarial transactions. The paper is useful distributed-systems background because message overlap can change outcomes. Its guarantees depend on the authors' communication graph and conflict-resolution model.
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Document Details
- Title: Distributed Consensus Through Unconstrained Gossiping
- Author / organization: Christopher D. Hollander and Annie S. Wu
- Year: 2013
- Language: English
- Document type: Distributed-consensus research paper
- Pages: 16
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